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mtg-card-pricing-model – AI Model by duncanmcd384 | AlphaNeural AI
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mtg-card-pricing-model
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transformers
safetensors
bert
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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mtg-card-pricing-model
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 697.3209
Mse: 697.3207
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
1981.8588
1.0
2578
701.4816
701.4817
557.9489
2.0
5156
698.7001
698.7001
149.627
3.0
7734
697.3209
697.3207
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cpu
Tokenizers 0.21.0
